New Study: Industrial Data Management Market Booms To £6 Billion As AI And Sustainability Converge

New Study: Industrial Data Management Market Booms To £6 Billion As AI And Sustainability Converge

London, UK. Faced with mounting pressure to improve safety, enhance sustainability and address escalating operational complexity amidst labour shortages, asset-intensive industrial firms are embracing enterprise-wide data unification, to enable data-driven decision-making at scale. By empowering organizations to leverage data effectively and unlock valuable insights from vast data sets, Verdantix forecasts the industrial data management (IDM) solutions market to reach $6.1 billion by 2029, as operations leaders recognize the critical value of IDM in deploying reliable AI and navigating the complexities of the modern industrial landscape.

This demand is leading to a surge in innovation and competition. Agile IDM newcomers such as SymphonyAI are rapidly approaching the frontrunners in the market with fast-evolving AI-enabled DataOps capabilities, alongside established predictive maintenance, anomaly detection and real-time performance optimization, to enable firms to extract insights from previously untapped data. Meanwhile, DataOps disruptors such as Cognite, Cybus, HighByte and Litmus Automation are challenging traditional IT-OT providers who, while dominant in certain sectors, face mounting pressure to adapt and innovate.

The inaugural Verdantix Green Quadrant: Industrial Data Management Solutions 2025 report -a groundbreaking first-of-its-kind analysis - provides heads of operations, maintenance, and IT executives with comprehensive insights into 11 prominent IDM software providers, helping them select the best-fit solution for their needs. The report highlights six providers - ABB, AVEVA, Cognite, Inductive Automation, Palantir and SymphonyAI - as offering some of the most comprehensive IDM capabilities. Verdantix's report comes at a time when vendors are racing to differentiate themselves through out-of-the-box innovations, hybrid cloud architectures and strategic partnerships, to deliver more sophisticated and valuable solutions to their customers.

Key report findings:

• AI is revolutionizing how industrial firms process and analyse data, shifting reliance away from traditional tools like spreadsheets and PDFs. Firms such as Cognite, Palantir and SymphonyAI have developed domain-specific AI capabilities that extract, interpret and contextualize industrial data.
• Vendors are expanding scalability by partnering with enterprise data platforms and integrating machine learning operations (MLOps). For example, AVEVA's collaboration with Databricks in 2024 combines industrial analytics with Databricks's enterprise-level analytics, enabling more robust cloud-enabled insights.
• IDM providers such as Cybus, HighByte, Inductive Automation and Litmus Automation are accelerating the adoption of unified namespaces (UNS) to improve industrial and enterprise data interoperability and consistent data modelling. These providers are offering ever-more-complete UNS enablers, making it easier for buyers to adopt and standardize data models at scale.
• Industrial organizations managing data from legacy equipment and disparate facilities are increasingly seeking IDM solutions that offer real-time data collection, browser-based interfaces and the ability to integrate custom analytical models tailored to their specific operational challenges.

"The industrial data management market is undergoing a dramatic transformation, with new disruptors implementing powerful new AI systems to challenge traditional vendors," said Joe Lamming, Senior Analyst at Verdantix. "IDM solutions are no longer just back-office tools; they are strategic enablers for industrial transformation. Practical AI technologies are advancing at lightspeed - and the IDM market is shifting towards scalable, cloud-enabled platforms, which enable firms to harness their wealth of operational knowledge and gain a competitive edge. To succeed, IDM vendors must prioritize robust scalability and deliver tailored, demonstrable, AI-powered IDM systems that meet the evolving needs of industrial firms."

To learn more, join the webinar Choosing The Right Data Platform To Solve Your Manufacturing OT And AI Challenges on 29 January. Register now.